The Science
The peer-reviewed research this whole site stands on — both the validation studies NextSense has run and the foundational neuroscience the field is built from. Published, not promised.
NextSense validation studies
Using a standalone ear-EEG device for focal-onset seizure detection
2024NextSense in-ear EEG recorded simultaneously against intracranial EEG: 86.4% of focal seizures detected across 1,255+ hours in 20 patients, at ~0.1 false alarms/day. The benchmark that takes ear-EEG out of the gadget category.
Read the paper →A novel, wearable, in-ear EEG technology to assess sleep and daytime sleepiness
2026Extends NextSense in-ear EEG from seizures to sleep — assessing sleep architecture and daytime sleepiness from earbuds, the foundation for reading and improving sleep at home.
Read the paper →The foundation it stands on
Ear-EEG Devices for the Assessment of Brain Activity: A Review
2024A systematic review of ~96 peer-reviewed ear-EEG studies since 2011 across sleep, epilepsy, and brain-computer interfaces — the evidence that ear-EEG is an established field, not a novelty.
Read the paper →From Scalp to Ear-EEG: A Generalisable Transfer Learning Model for Automatic Sleep Scoring in Older People
2024A sleep-scoring model trained on scalp EEG, applied to a single in-ear sensor, scored sleep well out of the box and better after light fine-tuning — decades of scalp knowledge transferring to the ear.
Read the paper →Acoustic Enhancement of Sleep Slow Oscillations
2017Pink-noise pulses timed to the slow-wave up-state increased slow-wave activity and memory; the same sound played at random did not. The closed-loop principle, demonstrated.
Read the paper →Sleep Drives Metabolite Clearance from the Adult Brain
2013During deep sleep the glymphatic system accelerates clearance of metabolic waste, including amyloid-beta — the reason deep, slow-wave sleep is worth measuring and protecting.
Read the paper →